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Christopher Chiu and Zenon Chaczko

Abstract

The enhancement of surgical simulation tools is an important research study, to assist in the assessment and feedback of medical training practice. In this research, the Spring Tensor Model (STEM) has been used for laparoscopic end-effector navigation through obstacles and high-risk areas. The modelling of the surgical trainer as part of the laparoscopic simulator seeks to emulate the physical environment as a virtualised representation in the integrated infrastructure. Combining sensor network framework paradigms to a surgical knowledge-based construct demonstrates how STEMcan enhance medical practice. The architectural hybridisation of the training framework has enabled the adaptation of STEM modelling techniques for a simulated laparoscopic training methodology. The primary benefit of the architecture is that this integration strategy has resulted in a seamless transition of the heuristic framework to be applied to surgical training.

Open access

Rafał Rytel-Andrianik

Abstract

The output of the quadrature demodulator is generally regarded as a complex signal that is circular if only the demodulator is well balanced. In the paper we analyze properties of quadrature demodulators, particularly digital one, and show that the output is noncircular also if the input signal is nonstationary. Then we find sources of this noncircularity and show that they stem from transients of the low-pass demodulator filter. This is quite important because nonstationary inputs are quite typical in radar where power of echoes depends strongly on range. In the first sections we also review complex random signals and properties of circularity and properness.

Open access

N. Borisova

-based Environment for Creation and Use of Language Resources. Proceedings of 3rd Language Resources and Evaluation Conference, 66-71. http://citeseerx.ist.psu.edu/viewdocdownload;jsessionid=F9063E0E70FAA70A6878E6502D7F0968?doi=10.1.1.18.5528&rep=rep1&type=pdf. 7. https://gate.ac.uk. 8. Simov, K., P. Osenova, M. Slavcheva. BulTreeBank Morphosyntactic Tagset. Technical Report BTB-TR03, BulTreeBank Project, March 2004. 9. Nakov, P. BulStem: Design and Evaluation of Inflectional Stemmer for Bulgarian. Proceedings of Workshop on Balkan